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Data set

Adapted from Wikipedia · Discoverer experience

A data set (or dataset) is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. The data set lists values for each of the variables, such as for example height and weight of an object, for each member of the data set. Data sets can also consist of a collection of documents or files.

In the open data discipline, a data set is a unit used to measure the amount of information released in a public open data repository. The European data.europa.eu portal aggregates more than a million data sets.

Data sets are important because they help us organize and understand information. Whether you’re looking at weather patterns, animal populations, or sports statistics, data sets allow scientists, students, and many others to analyze and learn from real-world data. They are used in many fields, from medicine to space exploration, making them a key part of modern discovery and problem-solving.

Properties

A data set has different features that describe its structure. These features include the number and types of variables, like height or weight, and various statistical measures such as standard deviation and kurtosis.

The values in a data set can be numbers, like a person's height in centimeters, or they can be nominal data, which means they are not numerical, such as a person's ethnicity. In statistics, data sets often come from real observations of a group of people or things. Sometimes, data sets are also made using algorithms to test software. If some information is missing, an imputation method might be used to fill in the gaps.

Applications and use cases

Data sets are used in many fields to help with analysis, research, and decision-making. In science, they help study topics like living things, physical forces, and society. They are also important for teaching computers to recognize images, understand language, and make predictions.

Governments and companies share data sets to be open and make better plans. Businesses use them to understand customers and improve how they work. In healthcare, data sets help doctors learn new treatments and care for patients better.

Classics

Several classic data sets are often used by scientists and researchers. One famous example is the Iris flower data set, introduced by Ronald Fisher in 1936, which helps study different types of flowers. Another well-known set is the MNIST database, which contains images of handwritten digits and is used to test computer programs that recognize numbers.

Other important data sets include those used in books about categorical data analysis, robust statistics, and time series. These help experts understand patterns and make better decisions using data. There are also smaller sets like Anscombe's quartet, which shows why it's important to look at data carefully before drawing conclusions.

This article is a child-friendly adaptation of the Wikipedia article on Data set, available under CC BY-SA 4.0.